Next Article in Journal / Special Issue
Rehydration and Textural Properties of Dried Konjac Noodles: Effect of Alkaline and Some Gelling Agents
Previous Article in Journal / Special Issue
The Application of Mycorrhizal Fungi and Organic Fertilisers in Horticultural Potting Soils to Improve Water Use Efficiency of Crops
Open AccessArticle

Trends of Soybean Yields under Climate Change Scenarios

Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) Müncheberg, Eberswalder Straße 84, Müncheber 15374, Germany
Department Agro-Chemistry, Kuban State Agrarian University, Krasnodar 350044, Russia
Departamento de Engenharia Rural, Universidade Federal de Santa Catarina, Florianópolis 88034-000, Brazil
Department of Crop Production INTA—Instituto Nacional de Tecnologia Agropecuaria, Pergamino 2700, Argentina
Author to whom correspondence should be addressed.
Academic Editors: Varit Srilaong, Mantana Buanong, Chalermchai Wongs-Aree, Sirichai Kanlayanarat and Douglas D. Archbold
Horticulturae 2017, 3(1), 10;
Received: 2 December 2015 / Revised: 24 February 2016 / Accepted: 25 February 2016 / Published: 30 December 2016
(This article belongs to the Special Issue Quality Management of Organic Horticultural Produce)
Soybean is a very important crop, cultivated mainly as stock feed for animal production, but also for other uses such as biodiesel. Brazil is the second largest producer of soybeans, and the main exporter. About 10% of total Brazilian production is aimed for biodiesel production. The aim of this work was to assess the impact of climate change scenarios on soybean yield and evaluate two simple adaptation strategies: cultivar and planting date. Tests were done for soil profiles from two important producing regions: Chapecó-Red Oxisol, and Passo Fundo-Rodic Hapludox. Two commercial soybean cultivars (CD202 and CD204) and seven regional circulation models (RCM) were used. All simulations were done with DSSAT. After model calibration, eleven planting dates were run for two periods (2011–2040 and 2071–2100) using the RCM’s. There were no differences between cultivars. For Chapecó, the majority of RCM’s projected yield reductions, with few RCM’s projecting increments, and for only few planting dates (November). The response pattern for both time periods were identical, although the end-of-century period presented a further yield reduction. The main reason was reduced water holding capacity in soil, high temperatures, and changes in rainfall distribution along the cropping season. For Passo Fundo, 2011–2040 yields were distinct, depending on the RCM. Simulated yields tended to follow the actual yield pattern along the different planting dates, besides discrepancies. For 2071–2100, all but one RCM indicated yields equal or lower to actual levels. Regarding planting dates, no significant changes were identified, although reductions were observed for the early planting dates (August–September). The scenarios suggest that soybean yields will be reduced, jeopardizing the viability of this crop and biodiesel production in the studied regions. View Full-Text
Keywords: climate change; crop model; efficiency use climate change; crop model; efficiency use
Show Figures

Figure 1

MDPI and ACS Style

Eulenstein, F.; Lana, M.; Schlindwein, S.; Sheudzhen, A.; Tauschke, M.; Behrend, A.; Guevara, E.; Meira, S. Trends of Soybean Yields under Climate Change Scenarios. Horticulturae 2017, 3, 10.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop